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Last Updated: November 13, 2025
Status: Phase 3 (SQL-Only Mode) - COMPLETE ✓
Objective: Complete transition from file-based to SQL-based storage for all inputs, outputs, models, and configurations
The ACM system has COMPLETED FULL SQL MIGRATION. All critical functionality now operates purely from SQL Server:
Current State:
Next Actions:
EQUIPMENT & RUNS:
✓ Equipment -- Asset master data (2 equipment registered: FD_FAN, GAS_TURBINE)
✓ ACM_Runs -- Pipeline execution tracking (tracks all runs)
✓ ModelRegistry -- Trained model storage (SQL persistence ready)
✓ ACM_ConfigHistory -- Configuration change audit trail
✓ ACM_TagEquipmentMap -- Sensor tag to equipment mapping (25 tags mapped)
EQUIPMENT DATA TABLES (SQL-43 COMPLETE):
✓ FD_FAN_Data -- FD_FAN equipment historian (17,499 rows loaded)
✓ GAS_TURBINE_Data -- GAS_TURBINE equipment historian (2,911 rows loaded)
Schema: EntryDateTime (PK) + sensor columns (FLOAT) + LoadedAt (audit)
STORED PROCEDURE FOR DATA LOADING (SQL-42 COMPLETE):
✓ usp_ACM_GetHistorianData_TEMP -- Query equipment data by time range
Parameters: @StartTime, @EndTime, @EquipmentName, @TagNames (optional)
Returns: EntryDateTime + all sensor columns for equipment
TIME-SERIES OUTPUTS (OutputManager ready):
✓ ACM_Scores_Wide -- Detector scores (fused_z, ar1_z, pca_spe_z, etc.)
✓ ACM_Scores_Long -- Long-format scores (flexible schema)
✓ ACM_Drift_TS -- Multi-feature drift signals
✓ ACM_DriftSeries -- Drift time-series tracking
✓ ACM_DriftEvents -- Drift change point events
ANALYTICS TABLES (OutputManager ready):
✓ ACM_Episodes -- Episode detection results
✓ ACM_EpisodeMetrics -- Episode quality metrics
✓ ACM_CulpritHistory -- Top contributing sensors per episode
✓ ACM_HealthTimeline -- Health score over time
✓ ACM_RegimeTimeline -- Operating regime transitions
✓ ACM_RegimeOccupancy -- Regime occupancy stats
✓ ACM_ContributionCurrent -- Current sensor contributions
✓ ACM_ContributionTimeline -- Historical sensor contributions
✓ ACM_ThresholdCrossings -- Alert threshold events
✓ ACM_AlertAge -- Age of active alerts
✓ ACM_SensorRanking -- Sensor anomaly rankings
✓ ACM_HealthHistogram -- Health distribution
✓ ACM_RegimeStability -- Regime stability metrics
✓ ACM_DefectSummary -- Defect type summary
✓ ACM_DefectTimeline -- Defect timeline
✓ ACM_SensorDefects -- Sensor-specific defects
✓ ACM_HealthZoneByPeriod -- Health zones by time period
✓ ACM_SensorAnomalyByPeriod -- Sensor anomalies by period
✓ ACM_DetectorCorrelation -- Detector correlation analysis
✓ ACM_CalibrationSummary -- Calibration quality metrics
✓ ACM_RegimeTransitions -- Regime change events
✓ ACM_RegimeDwellStats -- Time spent in each regime
✓ ACM_SensorHotspots -- Problematic sensor identification
✓ ACM_SensorHotspotTimeline -- Hotspot history
MODEL PERSISTENCE TABLES:
✓ ModelRegistry -- Trained model storage (JSON serialization)
✓ ACM_PCA_Models -- PCA model parameters
✓ ACM_PCA_Loadings -- PCA component loadings
✓ ACM_PCA_Metrics -- PCA quality metrics
RUN TRACKING:
✓ ACM_Runs -- Pipeline run metadata and status
✓ ACM_Run_Stats -- Run-level statistics
✓ ACM_SinceWhen -- Last processed timestamp tracking
✓ v_Equip_Anomalies -- Equipment anomaly summary
✓ v_Equip_DriftTS -- Equipment drift timeline
✓ v_Equip_SensorTS -- Equipment sensor time-series
✓ v_PCA_Loadings -- PCA component interpretation
✓ v_PCA_Scree -- PCA variance explained plot data
CORE LIFECYCLE:
✓ usp_ACM_StartRun -- Initialize pipeline run
✓ usp_ACM_FinalizeRun -- Complete pipeline run
DATA LOADING (SQL-42/44 COMPLETE):
✓ usp_ACM_GetHistorianData_TEMP -- Load equipment data by time range
DATA WRITES (OutputManager integration):
✓ usp_Write_ScoresTS -- Batch insert detector scores
✓ usp_Write_DriftTS -- Batch insert drift signals
✓ usp_Write_AnomalyEvents -- Write episode detections
✓ usp_Write_RegimeEpisodes -- Write regime transitions
✓ usp_Write_AnomalyTopSpikes -- Write culprit sensors
✓ usp_Write_XCorrTopPairs -- Write correlation pairs
✓ usp_Write_FeatureImportance -- Write drift culprits
✓ usp_Write_DriftSummary -- Write drift summary
✓ usp_Write_CPD_Points -- Write change points
✓ usp_Write_DataQualityTS -- Write quality metrics
✓ usp_Write_ForecastResidualsTS -- Write forecast residuals
✓ usp_Write_ConfigLog -- Write config changes
✓ usp_Write_RunStats -- Write run statistics
PCA MODEL WRITES:
✓ usp_Write_PCA_Model -- Persist PCA model
✓ usp_Write_PCA_Metrics -- Write PCA quality metrics
✓ usp_Write_PCA_Loadings -- Write PCA components
✓ usp_Write_PCA_ScoresTS -- Write PCA scores
Status: ✓ Done (November 13, 2025)
ACMStatus: ✓ Done (November 13, 2025)
Completed: November 13, 2025
Final Data Counts:
Status: ✓ Done (November 13, 2025)
Completed: November 13, 2025
Implementation:
core/output_manager.py::load_data() updated with sql_mode parameter_load_data_from_sql() method (155 lines)
usp_ACM_GetHistorianData_TEMP with time range + equipment namecore/acm_main.py updated to pass equipment_name and sql_mode=Truestorage_backend='file'Validation:
scripts/sql/test_sql_mode_loading.pyConfiguration:
EquipID,Section,Key,Value,Type
0,runtime,storage_backend,sql,string
How to Run:
# Enable SQL mode in config, then:
python -m core.acm_main --equip FD_FAN
Benefits:
Objective: Keep SQL table writes only, remove all CSV file writes
Current State:
Required Changes:
write_dataframe() CSV file writes from core/output_manager.pyALLOWED_TABLES whitelist)Impact: Artifacts directory will only contain charts/PNG files, no data CSVs
Objective: Remove .joblib file writes, keep SQL ModelRegistry only
Current State:
artifacts/{equip}/models/Required Changes:
core/model_persistence.pystable_models_dir fallback logicImpact: No model files in filesystem, all models in SQL
Objective: Validate complete SQL-only operation
Validation Steps:
storage_backend='sql'artifacts/ directory (except charts)File: configs/sql_connection.ini (local, gitignored)
localhost\B19CL3PCQLSERVERACMFile: core/sql_client.py
SQLClient.from_ini(db_section) - Load connection configTrusted_Connection support (Windows Auth)cursor() method for raw SQL executioncall_proc() method for stored procedure callsFile: core/output_manager.py (Lines 573-932)
load_data() method with sql_mode parameter_load_data_from_sql() method for SQL historian queriesusp_ACM_GetHistorianData_TEMP stored proceduresql_mode=FalseFile: core/acm_main.py (Line 741-750)
runtime.storage_backend configequipment_name and sql_mode=True to load_data()usp_ACM_StartRunFile: core/output_manager.py (Lines 1-4615)
write_table() method with automatic SQL fallbackFile: core/model_persistence.py
ModelVersionManager - Model versioning systemModelType (varchar) - ar1, pca, iforest, gmm, regimesEquipID (int) - Equipment foreign keyVersion (int) - Model version numberParamsJSON (nvarchar) - Serialized model parametersStatsJSON (nvarchar) - Model quality metricsRunID (uniqueidentifier) - Link to training runEntryDateTime (datetime2) - Creation timestampFile: utils/sql_config.py
ACM_ConfigHistory tableDatabase:
scripts/sql/40_seed_config.sqlACM_ConfigHistory table tracks all config changesFile: scripts/sql/25_equipment_discovery_procs.sql
Files: scripts/sql/49_create_equipment_data_tables.sql, scripts/sql/load_equipment_data_to_sql.py
SQL Historian Data Loading (SQL-44)
SQL Output Tables (33+ tables)
Equipment Management
Configuration System
Run Tracking
CSV Output Writes (SQL-45)
Model File Persistence (SQL-46)
End-to-End Validation (SQL-50)
# Configure SQL mode
# Edit configs/config_table.csv:
# 0,runtime,storage_backend,sql,string,2025-11-13,SQL_MODE,SQL-44 complete
cd "c:\Users\bhadk\Documents\ACM V8 SQL\ACM"
# Run pipeline with SQL historian loading
python -m core.acm_main --equip FD_FAN
# Note: --enable-report flag REMOVED (no longer needed)
# Pipeline automatically runs in SQL mode when storage_backend='sql'
Objective: Disable all CSV file writes, keep SQL table writes only
Current Behavior:
Required Changes:
# In core/output_manager.py
def write_dataframe(self, df, filename, subdir=''):
"""Write DataFrame to CSV file."""
if self._sql_only_mode():
# Skip CSV writes in SQL-only mode
Console.info(f"[OUTPUT] Skipping CSV write ({filename}) in SQL-only mode")
return
# ... existing CSV write logic
Testing:
# Run pipeline in SQL mode
python -m core.acm_main --equip FD_FAN
# Verify artifacts directory
ls artifacts/FD_FAN/run_*/
# Should see: charts/*.png (visual outputs)
# Should NOT see: scores.csv, episodes.csv, metrics.csv, etc.
Objective: Remove .joblib file writes, use ModelRegistry table only
Current Behavior:
artifacts/{equip}/models/ ⚠️Required Changes:
# In core/model_persistence.py
class ModelVersionManager:
def save_model(self, model_obj, model_type, equip_id, run_id):
"""Save model to SQL ModelRegistry only."""
if self.sql_client:
self._save_to_sql(model_obj, model_type, equip_id, run_id)
else:
raise RuntimeError("SQL client required for model persistence")
# Remove: filesystem .joblib write logic
def load_model(self, model_type, equip_id, version=None):
"""Load model from SQL ModelRegistry only."""
if self.sql_client:
return self._load_from_sql(model_type, equip_id, version)
else:
raise RuntimeError("SQL client required for model persistence")
# Remove: filesystem .joblib load logic
Testing:
# Run pipeline, train models
python -m core.acm_main --equip FD_FAN
# Verify ModelRegistry table populated
sqlcmd -S "localhost\B19CL3PCQLSERVER" -E -d ACM -Q "
SELECT ModelType, EquipID, Version, LEN(ParamsJSON) as ParamBytes
FROM ModelRegistry
ORDER BY EntryDateTime DESC"
# Verify no .joblib files created
ls artifacts/FD_FAN/models/*.joblib
# Should return: no files found
Objective: Validate complete SQL-only operation with zero filesystem dependencies
Validation Checklist:
runtime.storage_backend='sql' in configpython -m core.acm_main --equip FD_FANSuccess Criteria:
# After pipeline run:
ls artifacts/FD_FAN/run_*/
# Expected output:
# charts/
# health_timeline.png
# regime_transitions.png
# sensor_rankings.png
# ...
# No scores.csv, episodes.csv, drift_events.csv, etc.
# No models/*.joblib files
# SQL verification:
sqlcmd -S "localhost\B19CL3PCQLSERVER" -E -d ACM -Q "
SELECT 'ACM_Scores_Wide' as TableName, COUNT(*) as Rows FROM ACM_Scores_Wide
UNION ALL SELECT 'ACM_Episodes', COUNT(*) FROM ACM_Episodes
UNION ALL SELECT 'ACM_DriftEvents', COUNT(*) FROM ACM_DriftEvents
UNION ALL SELECT 'ModelRegistry', COUNT(*) FROM ModelRegistry"
# All tables should have data
SQL-45: Remove CSV Output Writes
core/output_manager.py::write_dataframe()_sql_only_mode() checkstorage_backend='sql'SQL-46: Remove Model File Persistence
core/model_persistence.py_save_to_sql() and _load_from_sql()SQL-50: End-to-End Validation
Grafana Integration
Production Deployment
# Edit configs/config_table.csv (or use SQL config):
EquipID,Section,Key,Value,Type,LastModified,ModifiedBy,Reason
0,runtime,storage_backend,sql,string,2025-11-13 00:00:00,SQL_MODE,SQL-44 complete
cd "c:\Users\bhadk\Documents\ACM V8 SQL\ACM"
# SQL mode (loads from SQL historian, writes to SQL tables)
python -m core.acm_main --equip FD_FAN
# Note: --enable-report flag removed (no longer needed)
# Pipeline configuration determines output behavior
# Standalone test script
python scripts\sql\test_sql_mode_loading.py
# Expected output:
# ✓ 672 rows loaded (403 train + 269 score)
# ✓ 9 sensor columns
# ✓ SQL historian integration validated
-- Check data population
SELECT 'FD_FAN_Data' as Table, COUNT(*) as Rows FROM FD_FAN_Data
UNION ALL SELECT 'GAS_TURBINE_Data', COUNT(*) FROM GAS_TURBINE_Data
UNION ALL SELECT 'ACM_Scores_Wide', COUNT(*) FROM ACM_Scores_Wide
UNION ALL SELECT 'ACM_Episodes', COUNT(*) FROM ACM_Episodes
UNION ALL SELECT 'ACM_Runs', COUNT(*) FROM ACM_Runs
UNION ALL SELECT 'ModelRegistry', COUNT(*) FROM ModelRegistry;
fast_executemany enabled in pyodbcACM_ConfigHistory table (runtime overrides)config_table.csv (legacy support)config.yaml (base defaults)dt_local (datetime2) - local plant timeVersion parameterscripts/sql/test_sql_mode_loading.py - SQL historian loading validationscripts/sql/load_equipment_data_to_sql.py - Data migration with timestamp parsingscripts/sql/verify_acm_connection.py - SQL connection validationtests/test_model_persistence_sql.py - Model save/load (SQL-46)scripts/sql/test_pure_sql_mode.py - End-to-end validation (SQL-50)# Disable SQL mode, return to file mode
# Edit configs/config_table.csv:
# 0,runtime,storage_backend,file,string,2025-11-13,ROLLBACK,Return to CSV mode
Impact: Minimal - pipeline reverts to CSV file processing
# Run with file mode explicitly
python -m core.acm_main --equip FD_FAN
# Will use CSV files if storage_backend='file'
Impact: Zero - file mode fully functional
configs/
sql_connection.ini # Multi-database connections
config.yaml # Legacy fallback (kept)
core/
sql_client.py # Enhanced for multi-DB
historian.py # NEW - Historian client
acm_main.py # Modified _load_config()
data_io.py # SQL writers (already exist)
## File Structure Summary
ACM/ ├── configs/ │ ├── sql_connection.ini ✓ SQL connection (Windows Auth) │ ├── config.yaml ✓ Base config (fallback) │ └── config_table.csv ✓ CSV config (legacy support) │ ├── core/ │ ├── acm_main.py ✓ Main pipeline (SQL-44 complete) │ ├── sql_client.py ✓ SQL connection manager │ ├── output_manager.py ✓ SQL data loading + output writes │ ├── model_persistence.py ⏳ Model versioning (SQL-46 pending) │ ├── utils/ │ ├── sql_config.py ✓ SQL config reader/writer │ └── logger.py ✓ Console logging │ ├── scripts/sql/ │ ├── 00-48_*.sql ✓ Database setup scripts (33 tables, 19 SPs, 5 views) │ ├── 49_create_equipment_data_tables.sql ✓ Equipment data tables (SQL-40) │ ├── 50_create_tag_equipment_map.sql ✓ Tag mapping (SQL-41) │ ├── 51_create_historian_sp_temp.sql ✓ Historian SP (SQL-42) │ ├── load_equipment_data_to_sql.py ✓ Data migration (SQL-43) │ ├── test_sql_mode_loading.py ✓ SQL-44 validation │ └── verify_acm_connection.py ✓ Connection test │ ├── data/ Legacy CSV input files (migration source) │ ├── FD FAN TRAINING DATA.csv ✓ Migrated to FD_FAN_Data table │ └── Gas Turbine Training Data... ✓ Migrated to GAS_TURBINE_Data table │ └── artifacts/ ⏳ Output directory (SQL-45/46 to clean up) └── {EQUIP}/ ├── run_{timestamp}/ │ ├── charts/ ✓ Keep (visual outputs) │ ├── scores.csv ⏳ Remove (SQL-45) │ ├── episodes.csv ⏳ Remove (SQL-45) │ └── metrics.csv ⏳ Remove (SQL-45) └── models/ └── *.joblib ⏳ Remove (SQL-46)
---
## Summary & Next Steps
**✓ COMPLETED (SQL-40 through SQL-44):**
- [x] Database schema (33 tables, 19 SPs, 5 views)
- [x] Equipment data migration (20,410 rows)
- [x] SQL historian data loading (no CSV input dependencies)
- [x] Tag mapping and equipment registration
- [x] Run tracking and configuration system
- [x] Backward compatibility (file mode preserved)
**⏳ REMAINING (SQL-45, SQL-46, SQL-50):**
- [ ] Remove CSV output writes (keep charts only)
- [ ] Remove model .joblib writes (use ModelRegistry)
- [ ] End-to-end pure SQL validation
**🚀 HOW TO RUN:**
```powershell
# Enable SQL mode in config
# Edit configs/config_table.csv:
# 0,runtime,storage_backend,sql,string,2025-11-13,SQL_MODE,SQL-44 complete
cd "c:\Users\bhadk\Documents\ACM V8 SQL\ACM"
# Run pipeline (NO --enable-report flag needed)
python -m core.acm_main --equip FD_FAN
# Pipeline automatically:
# - Loads data from SQL (FD_FAN_Data table)
# - Writes results to SQL (33+ tables)
# - Generates charts (PNG files)
# - (Still writes CSV files - SQL-45 to remove)
# - (Still writes .joblib models - SQL-46 to remove)
📊 GRAFANA READY:
🎯 PRODUCTION DEPLOYMENT (After SQL-50):
END OF SQL INTEGRATION PLAN
Last Updated: November 13, 2025
Status: Phase 2 Complete (SQL-44) ✓ | Phase 3 Pending (SQL-45, SQL-46, SQL-50) ⏳
Next Action: Complete SQL-45 (Remove CSV output writes)